Yung-Ping Chien

Indiana University – Purdue University Indianapolis

Papers

Total Citations

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About

Yung-Ping Chien is a pioneering researcher in robotics and automation, with a primary focus on multi-manipulator coordination and collision-free path planning. His most cited work, "Determining the Path Search Graph and Finding a Collision-Free Path by the Modified A* Algorithm for a 5-Link Closed Chain" (1995), introduces an innovative approach to coordinating two tightly coupled planar manipulators as a closed kinematic chain. By adapting the A* search algorithm, Chien developed a method to efficiently compute collision-free paths for this complex system, addressing critical challenges in manufacturing, hazardous material handling, undersea operations, and space exploration. This foundational contribution has garnered 7 citations and remains relevant for researchers tackling multi-robot coordination problems. Chien’s work exemplifies the intersection of graph theory and robotics, offering practical solutions for real-world automation tasks. His research continues to inspire advancements in collaborative robotic systems, where precise, safe motion planning is essential. For students and researchers exploring multi-agent robotics, Chien’s modified A* algorithm provides a valuable framework for understanding path search in constrained, closed-chain environments.